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Classifying offensive sites based on image content
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
SmartCanvas: a gesture-driven intelligent drawing desk system
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Resolving hand over face occlusion
Image and Vision Computing
Task-based evaluation of skin detection for communication and perceptual interfaces
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A decentralized probabilistic approach to articulated body tracking
Computer Vision and Image Understanding
An implementation of an FPGA-based embedded gesture recognizer using a data glove
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Social signal processing: state-of-the-art and future perspectives of an emerging domain
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Real time trajectory based hand gesture recognition
WSEAS Transactions on Information Science and Applications
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Mobile phone performance analysis for camera based visual interactions
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Pattern Recognition Letters
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Real-time Hand Gesture Recognition from Depth Images Using Convex Shape Decomposition Method
Journal of Signal Processing Systems
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This paper presents algorithms and a prototype system for hand tracking and hand posture recognition. Hand postures are represented in terms of hierarchies of multi-scale colour image features at different scales, with qualitative inter-relations in terms of scale, position and orientation. In each image, detection of multi-scale colour features is performed. Hand states are then simultaneously detected and tracked using particle filtering, with an extension of layered sampling referred to as hierarchical layered sampling.Experiments are presented showing that the performance of the system is substantially improved by performing feature detection in colour space and including a prior with respect to skin colour. These components have been integrated into a real-time prototype system, applied to a test problem of controlling consumer electronics using hand gestures. In a simplified demo scenario, this system has been successfully tested by participants at two fairs during 2001.